The aim of this interdisciplinary minor at the University of Washington is to provide students with a background in quantitative, mathematical, engineering and computational approaches to problems in neuroscience. The minor includes courses with a mix of computational, analytical and experimental methods that form the core of computational neuroscience and neural engineering. The courses will provide a common core of skills that will enable all students to move forward toward independent research and graduate work in these interconnected fields.  Students who would like to declare the minor should consult with academic advisors in their home major departments.

Neural Computation and Engineering Minor Requirements

Minimum of 30 credits as follows:

1.  Either NBIO 405; EE/BIOEN 466 or both NBIO 301 and NBIO 302

2.  EE/BIOEN 460

3.  Either AMATH 342 or NBIO 303

4.  One course from PHIL 442 (preferred), PHIL 240, PHIL 409, Phil 442, Phil 460, BH 311, BH 420 or CSE 490 (Machine intelligence, ethics and society; minor approval required)

5.  Capstone EE/BIOEN 461

6.  Electives: At least 12 additional graded credits from the approved list

7.  Minimum cumulative 2.00 GPA for courses counted toward the minor

8.  Minimum of 18 credits outside of the student's major

Electives (need at least 12 credits graded). Note, courses cannot satisfy both required and elective options.

In addition to this coursework, students must make a presentation during the Mary Gates Undergraduate Research Symposium or Computational Neuroscience Connection Program. With prior approval, presentations at other conferences or events may satisfy this presentation requirement.

Please contact Dr. Jessica Huszar if you have any questions about the minor.